
Learn to create a simple to-do list app using HTML, CSS, and JavaScript by writing a clear prompt; includes adding, completing, deleting tasks, and local storage.
Plan before you build by using the implementation plan as a detailed blueprint that defines goals, architecture, file structure, and testing strategy before execution.
Build a responsive personal finance dashboard using React, Vite, Tailwind, and Recharts, with localStorage persistence, transaction management, and charts for income versus expenses and monthly filtering.
AI is changing the way software is built.
But most people still use AI like a chatbot — asking questions and copy-pasting code.
In this course, you’ll learn how to use Google Antigravity as an AI development agent to build real applications step by step — not just generate answers.
You’ll go beyond basic prompting and learn a structured workflow for AI-assisted app development, including planning, implementation, review, debugging, and iteration.
What Makes This Course Different
This isn’t a “watch me demo” course.
You’ll learn a practical, repeatable workflow and see how to work with an AI agent like a real developer:
How AI agents think, plan, and make decisions
How to create strong prompts using a clear framework
How to generate an implementation plan and turn it into a real build
How to create a structured task list for predictable progress
How to review, refine, and improve AI-generated code
How to debug issues and iterate professionally
How to polish results into a more production-ready application
This course is beginner-friendly, and the goal is simple: help you build faster, with better structure and fewer mistakes.
What You Will Build
You’ll build real projects across multiple app categories, including:
Personal Finance Dashboard (frontend web app)
Full-Stack Chat Application
Desktop Auto Data Merger Tool
Browser Automation Testing Tool
2048 Puzzle Game
AI Business Intelligence Dashboard
AI Coding Trainer (AI-powered learning tool)
These projects help you practice UI building, full-stack thinking, desktop workflows, automation, game logic, and AI + data apps — all using the same agent workflow.
The Workflow You’ll Learn
Each project follows a professional process:
Prompt → Plan → Task List → Implementation → Review → Debug → Improve
This is the core skill that makes AI development reliable.
Who This Course Is For
This course is ideal for:
Developers who want to use AI agents in real development
Beginners who want a structured way to build apps with AI help
Programmers who want to work faster with a better workflow
AI learners ready to go beyond “chat prompts.”
Entrepreneurs who want to prototype real products quickly
Basic programming knowledge is recommended, but no AI agent experience is required.
By the End of This Course, You’ll Be Able To
Build real applications using Google Antigravity + AI agents
Write structured prompts for consistent, high-quality results
Review, debug, and refine AI-generated code confidently
Apply an AI agent workflow to your own app ideas and projects
You won’t just learn Google Antigravity.
You’ll learn how to build with it.